Post Doctoral Fellow - Rockefeller Neuroscience Institute/Department of Neuroscience

The Rockefeller Neuroscience Institute/Department of Neuroscience at West Virginia University is currently accepting applications for a Post Doctoral Fellow.

About the Opportunity

The Latifi Lab at the Rockefeller Neuroscience Institute (West Virginia University) is seeking for a highly motivated and experienced postdoctoral fellow with a strong background in in vivo two-photon (2P) imaging and quantitative data analysis. The candidate must have hands-on experience in both experimental execution and analytical pipelines and be able to contribute immediately to ongoing projects.

We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including:
* 37.5-hour work week
* 13 paid holidays (staff holiday calendar)
* 24 annual leave (vacation) days per year (employee leave)
* 18 sick days per year (for when you're ill, for when you need time to care for sick family, for your own, or your family's, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)
* WVU offers a range of health insurance and other benefits
* 401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for more retirement benefits information? Check out retirement health insurance benefits, retirement income, and FAQ's.
* Wellness programs

What You'll Do

* Design, execute, and optimize in vivo 2P imaging experiments
* Perform surgical preparations and imaging acquisition in rodent models
* Develop and implement data analysis pipelines
* Integrate imaging data with behavioral and multimodal datasets, including clinical data
* Contribute to experimental design, data interpretation, and troubleshooting across projects
* Prepare figures, manuscripts, and presentations for publications and grants
* Collaborate across interdisciplinary teams and contribute to overall lab operations

• PhD in Neuroscience, Computer Science, Artificial Intelligence, Robotics, Physics, or related quantitative disciplines.
• Experience in both experimental execution and analytical pipelines.

• All qualifications must be met by the time of employment.

Knowledge, Skills and Abilities

• Strong expertise in data analysis (e.g., Python, MATLAB; signal processing, time-series analysis, or machine learning)
• Demonstrated hands-on experience with in vivo 2P calcium imaging (imaging acquisition, troubleshooting)
• Proven ability to independently design, execute, and analyze experiments
• Strong organizational skills and attention to detail

Preferred Qualifications

• Experience with network-level analysis, graph theory, or AI/ML approaches
• Familiarity with rodent models (e.g., stroke, TBI) and behavioral assays
• Experience integrating multimodal datasets
  

West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.

From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.

At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values - service, curiosity, respect, accountability and appreciation - unite us as Mountaineers.

Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.

West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.